Recommendation AI

How Shopee's AI Recommendations Helped Drive $100B in GMV

Shopee's AI recommendation engine, with gamification and live commerce, helped drive $100B GMV in 2024 and more time on platform.

3 min read
Shopee — Recommendation AI case study cover for the CartAmplify blog

Why does Shopee feel less like a store and more like an app you keep opening? Because its AI recommendation engine — woven together with gamification and live commerce — is built to maximize engagement, not just facilitate a single purchase. That engagement compounded into a milestone $100 billion in GMV.

The result: Shopee’s AI recommendation engine — combined with gamification and live commerce — helped drive $100 billion in GMV in 2024 (up ~28%), with personalized feeds increasing time on platform.

Recommendations that maximize engagement#

Shopee, the dominant Southeast Asian marketplace, treats recommendations as the core of an engagement engine. Personalized feeds surface products tuned to each shopper, gamification (rewards, mini-games) gives them reasons to keep returning, and live commerce — which now drives a fifth of platform GMV — turns shopping into entertainment. The recommendation engine threads through all of it, deciding what to surface to keep each shopper engaged and buying.

The result: more time on platform, more frequent visits, and a $100 billion GMV milestone with profitability.

How recommendation AI works#

Recommendation AI predicts what each shopper wants from their behavior and surfaces it. Shopee’s version optimizes for sustained engagement across feeds, live streams, and gamified experiences.

Three mechanics drive it. The engine personalizes feeds, surfacing products tuned to each shopper to maximize relevance and time on platform. It powers live and video commerce, recommending the streams and products each shopper is likely to engage with. And it reinforces habit, sequencing recommendations and rewards to keep shoppers coming back.

Why engagement compounds into GMV#

The strategic insight is that engagement and GMV are deeply linked. A shopper who spends more time on the platform sees more relevant products, makes more purchases, and generates more data that sharpens future recommendations. Gamification and live commerce amplify that loop by giving shoppers reasons to return. The recommendation engine is the connective tissue: it makes every visit relevant enough to be worth repeating, and repeated visits compound into GMV at scale.

What this means for your store#

You don’t need live commerce to apply the principle:

  • Personalize feeds to maximize relevance and time on site, not just single conversions.
  • Give shoppers reasons to return — relevant content, rewards, fresh discovery.
  • Optimize recommendations for engagement and habit, because repeat visits compound into revenue.

Engagement is the leading indicator of GMV. Recommendation AI is what sustains it.

Bring recommendation AI to your store with CartAmplify#

CartAmplify brings engagement-driving recommendation AI to any store — Shopify, dropshipping, or marketplace. Personalized feeds that keep shoppers coming back, the way Shopee built toward $100B GMV.

Try CartAmplify free →


GMV figures cited from publicly reported Shopee / Sea 2024 results. Results vary by catalog, traffic, and implementation.

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